Number of bread wheat cultivars have significantly increased in recent years and research on adaptation capacities of such cultivars are not sufficient in Kayseri. This study was carried out to determine high-yield bread cultivars able to adapt the conditions of Kayseri Province in 2010-11 and 2011-12 cropping seasons. A total of 42 national bread wheat cultivars were used and adaptation capacities were determined for Kayseri Region. Significant differences were observed in entire traits of the years and cultivars. Grain-fill periods of cultivars varied between 33.9-40.5 days, plant heights between 76.0-121.7 cm, number of spike per m2 between 292.5-645.8 spikes, number of kernel per spike between 17.4-43.9 kernels, 1000 kernel weights between 32.9-40.1 g, kernel yields between 153.0-278.3 kg/da, hectoliter weights between 72.8-78.4 kg and protein ratios between 9.08-14.37%. Considering the dry conditions of Kayseri region, Bezostaja-1, Gün 91, Bayraktar 2000, Dağdaş 94, Karahan 99, Tosunbey and Nenehatun cultivars were recommended for high yield and quality.

In this study, the effect of using gamma irradiated barley and wheat 0, 10 and 100 kiloGray (kGy) and enzyme supplementation on the egg product criterions and external and internal egg quality was examined. In this experiment, 36 weeks old, 324 Brown Nick laying hens were used for ten week. The study was a randomized complete block design with 9 dietary treatments within 6 blocks of 54 pens each 6 birds per pen. Although egg weight was not significantly affected by gamma irradiation; enzyme supplementation of barley based diet significantly increased egg weight compared to barley control group. As egg mass production was considered, enzyme and 100 kGy gamma irradiation significantly improved the egg mass production compared to barley control. The feed conversion ratio was significantly improved by using gamma irradiated barley and enzyme in barley based diets (P

The main objective of this study is to investigate the consumption behaviour and consumption awareness of energy drink among university students. Data were collected from 750 students in Afyon Kocatepe University by questionnaire which is improved by writers of this article. Tests were done with SPSS end of the research. Chi-square tests were done in %95 confidence interval to determine the relation of consumption and awareness of energy drink among the university students with gender, age range, school which is graduated, monthly expense, smoking and use of alcohol, the most consumed beverage types, and degree of licence. According to search results, it was found that energy drink consumption behaviour did not change with regard to the different age. On the other hand, male college graduates compared to other types of high school, it was determined that 701 TL per month and over spenders in relation to the lower income groups consumed more energy drinks . In addition, it was found that the groups that use alcohol, smokers, coffee drinkers and undergraduate students were consumed much more energy drinks than the others. When the answers measured the energy drink consumption behaviour of the students participated in the survey were considered, it was concluded that the awareness of the energy drink consumption was not high enough.

The aim of the study was to investigate the effect of follicle size and follicle stimulating hormone (FSH) concentration on nuclear maturation of bovine oocytes in vitro. Follicles on bovine ovary were classified into 3 groups according to the diameter; small (

Combining ability analysis has an important position in rapeseed breeding. To evaluate genetic and combining ability effects, three Brassica napus L. testers “Punjab Sarson, Legend and Durre-NIFA” and five lines “Duncled, K-258, ZN-R-1, ZN-R-8, ZN-M-6” were crossed using line × tester design in Randomized Complete Block Design (RCBD) with three replications. Mean sum of squares of the analysis of variances (ANOVA) for genotypes was highly significant for all of the traits. Most of the lines and testers exhibited significant results of mean sum of squares for combining ability. Line ‘Duncled’ was proved good general combiner for oil (8.8), protein (3.7), erucic acid (33.0), oleic acid (13.0) and glucosinolate (-19.3) over other lines and tester ‘Durree-NIFA’ for protein (6.6), erucic acid (-23.4), and linolenic acid (-5.3) over other testers. Significant specific combining ability effects were also observed. The best hybrid combinations were Legend × ZN-R-1 for oil (9.6), Punjab Sarson × Duncled for minimum erucic acid (-14.0) and linolenic acid contents (-6.0), and Legend × ZN-M-6 for maximum protein (8.2) and minimum glucosinolate contents (-11.1). The maximum oil contents were observed in ‘Legend × ZN-R-1’ (52.4%). The cross ‘Punjab Sarson × Duncled’ expressed maximum values of protein (26.5%) and oleic acid (62.5%) while minimum for erucic acid (2.3%), linolenic acid (5.4%) and glucosinolate contents (19.3µmol/g). This research discloses the significance of non-additive genetic effects for most of the studied traits except oil contents. These studies will also help to improve nutritional values of rapeseed crop by selecting noble crosses.

In Afghanistan food safety is managed by several ministries including Ministry of Public Health, Ministry of Agriculture, Ministry of Commerce and municipalities. There is no food law but multiple ministerial decrees which ensure if GMP is implemented well. There is no legal requirement to get food safety certification. Hazard analysis and critical control point (HACCP) is recognized as a key part of food safety management practice in the global food industry and can be applied at any stage of the food supply chain. This article discusses accepted approaches to the application of HACCP principles for the development, implementation, and maintenance of HACCP plan. It is intended as an introduction to food safety system in Afghanistan, giving propositions to government on how to apply the principles in a stepwise approach, and showing how HACCP benefit public and private sector and also suggesting ways how to adapt this approach in the food businesses.

This study was conducted in order to determine the effect of the mechanical properties such as maximum force at the skin rupture point, energy at the skin rupture point and the skin firmness on color maturity of tomato by supervised learning algorithms of data mining. In the present study, a total of 88 tomato samples were used, and color measurements for each tomato in 4 different equatorial regions were performed and a total of 352 color measurement units were used. In the classification processes performed according to these mechanical properties, K-Star, Random Forest and Decision Tree (C4.5) algorithms of data mining were utilized, and in the comparison of comprising classification models, Root Mean Square Error (RMSE), Mean absolute error (MAE), Root relative squared error (RRSE) and Relative absolute error (RAE) values, which are some of the criteria of error variance, were considered to be low, while the classification accuracy rate was considered to be high. As a result of the comparison made, the classification model formed according to K-Star instance-based algorithm [MAE: 0.004, RMSE: 0.006, %RAE: 1.73, %RRSE: 1.70] has been found to be a better classifier compared to the others. With the classification made according to K-Star algorithm, the maximum force at the skin rupture point on the degree of maturity of tomato and the skin firmness were found to be green, light red, and their effects are non-significant during the color conversion periods, and found significant during other periods while the energy at the skin rupture point is only pink and has been to be significant during the color conversion stages and non-significant during other stages.

Precise estimation of the reference evapotranspiration is very important and vital in different fields such as agriculture, hydrology and meteorology. The aim of the current study was to evaluate the performance of different reference evapotranspiration methods compared to Class-A pan or E-pan over different agro-climatic regions in Egypt. In this study, Egypt has divided into several agro-climatic regions according to the average air temperature and the reference evapotranspiration from Class-A pan. These were Nile Delta in the north, middle and Upper Egypt. Four reference evapotranspiration (ETo) methods namely; Blaney-Criddle, Hargreaves, Thornthwaite and FAO-56 Penman-Monteith (PM) have been evaluated in this study. The results revealed that, there were statistically no significance between E-Pan and PM at P-value less than 0.05, while the other equations had significant differences. The Hargreaves equation reported the highest ETo value at all regions while Thornthwaite was the lowest one. The difference percentage ratios between FAO-56 Penman-Monteith, Blaney-Criddle, Thornthwaite and Hargreaves and E-Pan were 3.7, -13.3, -24.8 and 10.7 respectively. Hence, FAO-56 Penman-Monteith method has proved its capability in estimation of reference evapotranspiration over different agro-climatic regions in Egypt. Therefore, it could be used over any region in Egypt especially those have no reference evapotranspiration instruments.This study is a regional research, similar studies has been made for different regions by many researchers. Therefore, the determined results in this study can be used for regions with similar climatic conditions.

Soybean (Glycine max L. Merril) is widely grown in the mid hills as intercrop with maize or in paddy bunds, while it is gaining popularity as sole crop in terai and inner terai. Mean temperature at Khumaltar during soybean growing period was mostly fluctuating; but we observed an increasing trend in temperature. Amount of rainfall was not changed dramatically but number of rainy days was decreased during study period. Rainfall during germination time increase soil moisture which also increase germination and found higher early stand. Days from sowing to 50% flowering and 90% maturity were short in the case of higher minimum temperature and low rainfall. Among the genotypes, AGS-377, AGS-378, AGS-379 and Tarkari Bhattmas-1 were more sensitive. However, seed yield decreased in the case of higher temperatures and low rainfall. Cool night temperatures and high moisture increased disease incidence in soybean which, eventually reduced yield. In last three years, plant suffered from moisture stress during early vegetative stage and high moisture during late vegetative stage which reduced seed yield and seed weight. In conclusion, we found that genotypes like AGS- 360, Sathiya and Tarkari Bhatmas-1 are very sensitive to climatic variation.